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ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (10): 443-451.DOI: 10.19912/j.0254-0096.tynxb.2021-0274

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风光接入下储能系统双层优化模型

朱志莹1, 郭杰1, 于国强2, 徐明志1, 胡尊民2   

  1. 1. 南京工程学院电力工程学院,南京 211167;
    2. 江苏方天电力技术有限公司,南京 211102
  • 收稿日期:2020-03-13 出版日期:2022-10-28 发布日期:2023-04-28
  • 通讯作者: 朱志莹(1984——),男,博士、教授,主要从事储能与节电技术、新能源高效利用方面的研究。zyzhu@njit.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(51977103); 江苏方天电力技术有限公司科技项目(KJ201926)

BI-LAYER OPTIMIZATION MODEL FOR ENERGY STORAGE SYSTEMS UNDER WIND AND PV ACCESS

Zhu Zhiying1, Guo Jie1, Yu Guoqiang2, Xu Mingzhi1, Hu Zunmin1   

  1. 1. School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China;
    2. Jiangsu Fangtian Power Technology Co., Ltd., Nanjing 211102, China
  • Received:2020-03-13 Online:2022-10-28 Published:2023-04-28

摘要: 提出一种风光接入下储能系统的双层优化模型,综合考虑规划和运行2个不同时间尺度问题的相互影响。外层考虑储能系统配置下的全网总成本,用改进粒子群算法迭代求解;内层考虑储能参与下的电网运行成本,采用CPLEX进行求解。在改进的IEEE 10机39节点系统进行仿真验证,结果表明所提模型可得到合理的储能配置方案,在对比不同情景下的经济指标可得到双储能配置为仿真系统的最佳方案。

关键词: 光伏, 风电, 电池储能, 粒子群优化, 线性规划, 容量配置, 双层优化

Abstract: A bi-layer optimization model is proposed for the configuration of energy storage systems after wind and PV accessing. This model considers the interaction of two different time-scale problems, the planning problem and the operation problem. The outer optimization problem considers the total cost of the system after configuring energy storage. It is solved iteratively with an improved particle swarm algorithm. The inner layer optimization problem considers the grid operation cost with the participation of energy storage and is solved using CPLEX. The simulation is verified in the modified IEEE 10 machine 39 node system. The simulation results show that the proposed model can obtain a reasonable energy storage configuration scheme. After comparing the economic indicators under different scenarios, it can be found that the dual energy storage configuration is the best solution for the simulated system.

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